{"title":"利用磁共振成像预测上颌第三磨牙的纪年年龄:一项观察性研究。","authors":"Komal Smriti, Murali Venkata Rama Mohan Kodali, Mathangi Kumar, Anoushka Saraf, Medhini Madi, Kalyana Chakravarthy Pentapati, Prakashini K, Yogesh Chhaparwal, Unati Sai Kodali, Srikanth Gadicherla","doi":"10.2147/CCIDE.S484107","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Dental age estimation using third molars is a reliable method for estimating the age of individuals. Recently, magnetic resonance imaging (MRI) of the head and neck has been found to be applicable for age estimation of third molar teeth. In the present study, we aimed to apply the Modified Demirjian method of age estimation to magnetic resonance (MR) image sections for dental age estimation by determining the mineralization patterns of the maxillary third molars.</p><p><strong>Methods: </strong>MRI scans of the patients were performed using SIGNA™ 3.0Tesla MRI GE Healthcare (Chicago, USA) with a moving, multifunctional coil. Two expert radiologists with more than three years of experience independently analyzed the image sections using the open-source Digital Imaging and Communications in Medicine (DICOM) viewer software. The age and sex of the patients whose images were included in the study were recorded using a specially designed proforma. The stage of development of the maxillary third molars was determined using the modified Demirjian method. Inter observer agreement was calculated using the intra class correlation coefficient. Simple linear regression analysis was used to predict the actual age at the third molar development stage.</p><p><strong>Results: </strong>There was excellent agreement between observers (ICC =0.99 (95% CI = 0.98-0.99)). There was also a significant association between the maxillary third molar tooth development stage and chronological age of the individual (P=0.001; B=1.54; 95% CI = 0.71-2.37).</p><p><strong>Discussion: </strong>The findings from the present study establish that the Modified Demirjian method can also be reliably applied for dental age assessment in MR sections.</p>","PeriodicalId":10445,"journal":{"name":"Clinical, Cosmetic and Investigational Dentistry","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11490233/pdf/","citationCount":"0","resultStr":"{\"title\":\"Magnetic Resonance Images for the Prediction of Chronological Age Using Maxillary Third Molar Teeth: An Observational Study.\",\"authors\":\"Komal Smriti, Murali Venkata Rama Mohan Kodali, Mathangi Kumar, Anoushka Saraf, Medhini Madi, Kalyana Chakravarthy Pentapati, Prakashini K, Yogesh Chhaparwal, Unati Sai Kodali, Srikanth Gadicherla\",\"doi\":\"10.2147/CCIDE.S484107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Dental age estimation using third molars is a reliable method for estimating the age of individuals. Recently, magnetic resonance imaging (MRI) of the head and neck has been found to be applicable for age estimation of third molar teeth. In the present study, we aimed to apply the Modified Demirjian method of age estimation to magnetic resonance (MR) image sections for dental age estimation by determining the mineralization patterns of the maxillary third molars.</p><p><strong>Methods: </strong>MRI scans of the patients were performed using SIGNA™ 3.0Tesla MRI GE Healthcare (Chicago, USA) with a moving, multifunctional coil. Two expert radiologists with more than three years of experience independently analyzed the image sections using the open-source Digital Imaging and Communications in Medicine (DICOM) viewer software. The age and sex of the patients whose images were included in the study were recorded using a specially designed proforma. The stage of development of the maxillary third molars was determined using the modified Demirjian method. Inter observer agreement was calculated using the intra class correlation coefficient. Simple linear regression analysis was used to predict the actual age at the third molar development stage.</p><p><strong>Results: </strong>There was excellent agreement between observers (ICC =0.99 (95% CI = 0.98-0.99)). 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引用次数: 0
摘要
导言:利用第三磨牙估算牙龄是估算个人年龄的一种可靠方法。最近,人们发现头颈部磁共振成像(MRI)可用于估算第三磨牙的年龄。在本研究中,我们旨在通过确定上颌第三磨牙的矿化模式,将改良德米尔坚年龄估算法应用于磁共振(MR)图像切片的牙齿年龄估算:使用带有移动多功能线圈的 SIGNA™ 3.0Tesla MRI GE Healthcare(美国芝加哥)对患者进行磁共振扫描。两名具有三年以上经验的放射科专家使用开源的医学数字成像和通信(DICOM)查看器软件独立分析了图像切片。使用专门设计的表格记录了图像被纳入研究的患者的年龄和性别。上颌第三磨牙的发育阶段采用改良的 Demirjian 法确定。使用类内相关系数计算观察者之间的一致性。使用简单线性回归分析预测第三磨牙发育阶段的实际年龄:观察者之间的一致性非常好(ICC =0.99 (95% CI = 0.98-0.99))。上颌第三磨牙的发育阶段与个人的实际年龄之间也存在明显的关联(P=0.001;B=1.54;95% CI=0.71-2.37):讨论:本研究结果表明,改良德米尔让法也可以可靠地用于 MR 切片的牙龄评估。
Magnetic Resonance Images for the Prediction of Chronological Age Using Maxillary Third Molar Teeth: An Observational Study.
Introduction: Dental age estimation using third molars is a reliable method for estimating the age of individuals. Recently, magnetic resonance imaging (MRI) of the head and neck has been found to be applicable for age estimation of third molar teeth. In the present study, we aimed to apply the Modified Demirjian method of age estimation to magnetic resonance (MR) image sections for dental age estimation by determining the mineralization patterns of the maxillary third molars.
Methods: MRI scans of the patients were performed using SIGNA™ 3.0Tesla MRI GE Healthcare (Chicago, USA) with a moving, multifunctional coil. Two expert radiologists with more than three years of experience independently analyzed the image sections using the open-source Digital Imaging and Communications in Medicine (DICOM) viewer software. The age and sex of the patients whose images were included in the study were recorded using a specially designed proforma. The stage of development of the maxillary third molars was determined using the modified Demirjian method. Inter observer agreement was calculated using the intra class correlation coefficient. Simple linear regression analysis was used to predict the actual age at the third molar development stage.
Results: There was excellent agreement between observers (ICC =0.99 (95% CI = 0.98-0.99)). There was also a significant association between the maxillary third molar tooth development stage and chronological age of the individual (P=0.001; B=1.54; 95% CI = 0.71-2.37).
Discussion: The findings from the present study establish that the Modified Demirjian method can also be reliably applied for dental age assessment in MR sections.